Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum value of an equation, called the objective functions, subject to a system of ...

Many diagnostics-focused artificial intelligence techniques in the state-of-the-art rely on combinations of least-squares-based autoregressive models and neural-network-like approaches. Prognostics ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

This eBook places the focus on the effective design of motion control solutions for industrial machinery. Learn about applications in Cartesian robots, or long-travel linear robots, where the ...

Abstract: Optimal Transmission Switching (OTS) problems minimize operational costs while treating both the transmission line energization statuses and generator setpoints as decision variables. The ...

Trucking industry leaders want to minimize empty-trailer trips to improve costs and efficiency. Uber Freight is using AI on its platform to provide trucking companies with more optimized routes. This ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

Abstract: We study the problem of determining an effective exploration strategy in static and non-linear optimization problems, which depend on an unknown scalar parameter to be learned from online ...

linear dependencies in many situations can be considered as quite satisfactory approximations of actual nonlinear dependencies.At the same time,a linear dependence is easy to specify,which makes it ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...